Research Progress on Atmospheric Turbulence Perception and Correction Based on Adaptive Optics and Deep Learning by Qinghui Liu, Yihang Di, Mengmeng Zhang, Zhenbo Ren, Jianglei Di, Jianlin Zhao

“…Recent years have witnessed substantial advancements in AO technology, driven by synergistic progress in fundamental theories, optoelectronic devices, and computational algorithms. Furthermore, artificial intelligence‐driven turbulence processing frameworks leveraging deep neural networks have emerged as a prominent research frontier, demonstrating remarkable potential in intelligent wavefront sensing and nonlinear compensation. …”
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GYS-RT-DETR: A Lightweight Citrus Disease Detection Model Based on Integrated Adaptive Pruning and Dynamic Knowledge Distillation by Linlin Yang, Zhonghao Huang, Yi Huangfu, Rui Liu, Xuerui Wang, Zhiwei Pan, Jie Shi

“…Secondly, the model adopts two model optimization strategies: (1) The Group_taylor local pruning algorithm is used to reduce memory occupation and the number of computing parameters of the model. (2) The feature-logic knowledge distillation framework is proposed and adopted to solve the problem of information loss caused by the structural difference between teachers and students, and to ensure a good detection performance, while realizing the lightweight character of the model. …”
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All-Integer Quantization for Low-Complexity Min-Sum Successive Cancellation Polar Decoder by Wittawad Pimsri, Patinya Muangkammuen, Puripong Suthisopapan, Virasit Imtawil

“…The integer-based calculation for the MS-SC polar decoder reduces computational complexity by <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>75</mn><mo>%</mo></mrow></semantics></math></inline-formula> compared to the conventional SC decoding algorithm with infinite-precision computation.…”
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On Combining Different Acceleration Techniques at the Iterative Solution of PDEs by the Method of Collocations and Least Residuals by Vasily P. Shapeev, Evgenii V. Vorozhtsov

“…It is proposed to find the optimal values of its parameters by the numerical solution of a computationally inexpensive problem of minimizing the condition number of the system of linear algebraic equations. …”
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Content-based dynamic superframe adaptation for Internet of Medical Things by Yousaf Zia, Arshad Farhad, Faisal Bashir, Kashif Naseer Qureshi, Ghufran Ahmed

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A Study of Transmission Point Selection for Multi-Connectivity in Multi-Band Wireless Networks by Eunkyung Kim, Dongwan Kim, Changbeom Choi

“…The proposed point selection algorithm attains lower computational complexity with a 2-approximation of the optimal solution. …”
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Enhancing Real-time Herbal Plant Detection in Agricultural Environments with YOLOv8 by Ranty Deviana Siahaan, Herimanto Pardede, Iustisia Natalia Simbolon, Ivanston Simbolon, Dian Jorgy Gultom

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Robust Allocation of FACTS Devices in Coordinated Transmission and Generation Expansion Planning considering Renewable Resources and Demand Response Programs by Sara Mahmoudi Rashid, Ehsan Akbari, Farshad Khalafian, Mohmmad Hossein Atazadegan, Saeid Shahmoradi, Abbas Zare Ghaleh Seyyedi

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Reinforcement Learning Combined With a Self-Retraining Strategy for Dual-Comb State Generation in a Single-Cavity Laser by Zhiwei Fang, Guoqing Pu, Chao Luo, Yunhao Xie, Weisheng Hu, Lilin Yi

“…Traditional heuristic algorithms merely search for a solution according to the dedicatedly designed objective function, and the solution cannot assist in future optimization once the environment is altered, resulting in poor robustness of the automatic DCS generation. …”
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Review of machine learning applications for predicting the quality of biomass briquettes for sustainable and low-carbon energy solutions by Constance Nakato Nakimuli, Fred Kaggwa, Johan De Greef, David Kilama Okot, Julien Blondeau, Simon Kawuma

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Deep learning-based technique for investigating the behavior of MEMS systems with multiwalled carbon nanotubes and electrically actuated microbeams by Muhammad Amir, Jamshaid Ul Rahman, Ali Hasan Ali, Ali Raza, Zaid Ameen Abduljabbar, Husam A. Neamah

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Portable Impedance Analyzer for FET-Based Biosensors with Embedded Analysis of Randles Circuits’ Spectra by Norman Pfeiffer, Martin Bach, Alice Steiner, Anna-Elisabeth Gerhardt, Joan Bausells, Abdelhamid Errachid, Albert Heuberger

“…The introduced algorithm was evaluated on 100 simulated spectra of Randles circuits. …”
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Control Charts for Exponentially Distributed Characteristics: SD, ED, ESD with Taguchi’s Loss Function by Masoud Tavakoli, Ali Akbar Heydari, Sahera Hussein Zain AL–Thalabi

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Innovative approach for gauge-based QPE in arid climates: comparing neural networks and traditional methods by Bayan Banimfreg, Ernesto Damiani, Vesta Afzali Gorooh, Duncan Axisa, Luca Delle Monache, Youssef Wehbe

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AI-Based Prediction of Visual Performance in Rhythmic Gymnasts Using Eye-Tracking Data and Decision Tree Models by Ricardo Bernardez-Vilaboa, F. Javier Povedano-Montero, José Ramon Trillo, Alicia Ruiz-Pomeda, Gema Martínez-Florentín, Juan E. Cedrún-Sánchez

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Enhancing electric vehicle charging infrastructure: A framework for efficient charging point management by Prajeesh C B, Krishna Priya R, Anju S Pillai, Ahmed S Khwaja, Alagan Anpalagan

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YOLO11-ARAF: An Accurate and Lightweight Method for Apple Detection in Real-World Complex Orchard Environments by Yangtian Lin, Yujun Xia, Pengcheng Xia, Zhengyang Liu, Haodi Wang, Chengjin Qin, Liang Gong, Chengliang Liu

“…Third, we applied knowledge distillation to transfer the enhanced model to a compact YOLO11n framework, maintaining high detection efficiency while reducing computational cost, and optimizing it for deployment on devices with limited computational resources. …”
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Explainable Ensemble Learning Model for Residual Strength Forecasting of Defective Pipelines by Hongbo Liu, Xiangzhao Meng

“…This approach resolves the issues of excessive iterations and high computational costs associated with conventional hyperparameter optimization methods, significantly enhancing the model’s predictive performance. …”
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Wellcounter: Automated high‐throughput phenotyping for aquatic microinvertebrates by Claus‐Peter Stelzer, Dominique Groffman

“…Abstract Using phenotypic information extracted from digital images through automated computer vision analysis has become a promising avenue in ecological and evolutionary research. …”
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Automatic collaborative water surface coverage and cleaning strategy of UAV and USVs by Tianping Deng, Xiaohui Xu, Zeyan Ding, Xiao Xiao, Ming Zhu, Kai Peng

“…Second, we design a task scheduling and assignment algorithm for USVs to balance the garbage loads based on the particle swarm optimization algorithm. …”
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